Quick Links
Current and Recent Projects
- Planning and Control for the Darpa Urban Challenge by Yoshi Kuwata, Chun Sang Teo
and Gaston Fiore
- Flight Experiments Using Mixed-Integer Linear Programming (MILP) Trajectory Optimization by Kieran Culligan, Brandon Luders, Yoshiaki Kuwata, and Mario Valenti
- Coordinated Control of Multiple Mobile Observing Platforms for Weather Forecast Improvement by Han-Lim Choi
- Decentralized Exploration under Communication Constraints by Emily Craparo
- Robust Decision-Making Problems by Luca Bertuccelli
- UAVs helping a human supervisor map an area that has just experienced a Chemical/Biological/Radiological/Nuclear (CBRN) incident by Aditya Undurti
- Kernel-Based Approximate Dynamic Programming by Brett Bethke
- Multi-Vehicle Health Management by Josh Redding and Brett Bethke
- Path Planning for Multiple Spacecraft Reconfiguration Maneuvers and Application to SPHERES onboard ISS by Georges Aoude
- Closed-Loop Control of Autonomous Spacecraft by Matt Jeffrey
- Autonomous Air Combat by Jim McGrew
- Coordinated Search and Track (CSAT) by Karl Kulling and Luc Brunet
- Vision Aided Navigation in Unknown Environments by Spencer Ahrens and Dan Levine
- Adaptive Control Research and Flight Testing by Buddy Michini
- Onboard Planning System for UAVs in Support of Expeditionary Reconnaissance and Surveillance (OPS-USERS) by Cam Fraser
- Environment Mapping using Computer Vision by Ray He
- Parameter Estimation and Control of UAV by Frank Fan
- Nonlinear Controller on a Fixed Wing Aircraft by Frant Sobolic
Former Projects
-
[−] Mixed-integer Linear Programming (MILP) Trajectory Design Algorithms by Arthur Richards
MILP trajectory design algorithms were successfully flight tested by Boeing using two vehicles (F-15E/ T-33) under DARPAs Software Enabled Control program (Summer 2004). The overall approach has also been demonstrated in real-time using ACL's eight rover testbed and during numerous flights of ACL's multi-UAV testbed. -
[−] Control of Autonomous Formation Flying Spacecraft by Louis Breger
There are many challenges associated with flying multiple satellites in formation. This work examines approaches for initializing, coordinating, and controlling spacecraft formations in the presence of process noise and navigation error. -
[−] Rapid Planning Algorithms for Cooperating Multi-Vehicle Teams by Mehdi Alighanbari
The goal is to develop a general methodology for the team tasking and cooperative path planning components of hierarchical coordination architecture for teams of UAV's. -
[−] Receding Horizon Control of Autonomous Aerial Vehicles by John Bellingham and Yoshi Kuwata
This work presents a new approach to trajectory optimization for autonomous aerial vehicles performing large-scale maneuvers. We have developed a receding horizon trajectory planner based on Mixed Integer-Linear Programming (MILP) that is capable of planning planar trajectories to a goal. The planner can handle constraints such as no-fly areas and aircraft dynamics. -
[−] Orion Formation Flying Mission
This mission is being designed and built by MIT and Stanford. In August 2001, a paper was presented at the AIAA Space 2001 Conference and Exposition in Albuquerque, New Mexico. The paper addressed the status of the project at the time and performed an analysis of mission operations.
If you have any technical difficulties viewing this page, please contact the ACL Webmaster Copyright © acl.mit.edu 2008